MinhNguyenDS/AI-pdf-books

**What this project is**
A GitHub repository that gathers high-quality books, papers, and study resources on Artificial Intelligence, Machine Learning, Deep Learning, Large Language Models (LLMs), MLOps, LLMOps, and Data Science. It is meant to be a "centralized, organized, and accessible" place for anyone learning these topics — engineers, data scientists, researchers, and students.

The materials come from well-known technical publishers (O'Reilly, Manning, Packt, Springer), academic institutions, and leading researchers.

**How the collection is organized**
Books are grouped into six folders, each focused on a theme:
* **AI books** — general AI topics, including AI engineering, AI agents, and building AI-powered business tools.
* **AI Architecture books** — design patterns for machine learning systems, generative AI, and multi-agent applications.
* **Data Science books** — data analysis, statistics, data mining, and data storytelling.
* **LLM and NLP books** — natural language processing, large language models, prompt engineering, and speech/language processing.
* **LLMOps and MLOps books** — operating machine learning models in production, plus related tools like FastAPI and LangChain.
* **Machine Learning books** — foundational ML and deep learning titles, including some in Vietnamese.

Each book is listed in the README with a direct link to its PDF file inside the repository, and the publisher is noted where known.

**How you can contribute**
Anyone can add a book or resource by following a simple process:
1. Fork the repository.
2. Create a new branch.
3. Add your PDF to the matching folder (or suggest a new folder if none fits).
4. Update the README if you add a new top-level category.
5. Commit, push, and open a Pull Request.

Contribution guidelines ask that material be relevant to AI/ML/data topics, legally shareable or public-domain where possible, and not a duplicate of existing resources.

**Important legal caveats**
* The repository is for **educational and research purposes only**.
* Copyright of each book or paper stays with its author and publisher; the repository does not claim ownership.
* Users are responsible for complying with copyright laws and licenses.
* If a copyright holder believes their work is included improperly, they can report it and the material will be reviewed and possibly removed.

**License**
* The repository structure and this README are under the **MIT License**.
* The individual PDF books keep their own original copyrights and licenses.

**Other details**
* Readers are encouraged to "star" the repository to follow new additions.
* The README includes a star-history chart so visitors can see the project's popularity over time.
* A brief closing note asks users to support authors and publishers by purchasing books they find valuable.